基于自适应技术的遗传算法matlab源码，可应用于图像的去噪处理...

自己编写的图象处理系统，可实现多种功能，界面较友好-Prepared their own image processing system can achieve a variety of functions, interface more friendly

图像分割加特征提取的算法，一起分享，共同研究，共同进步-Add feature extraction image segmentation algorithms, along with sharing, joint research, and common progress

针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。 -against cameras fixed and coplanar binding conditions for target location, a simple new algorithm. The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix. Just use projective geometry of nature, by simple geometry, orders for non-standard video camera in a single image. Solving its two D images from two-dimensional to three real plane D nonlinear single map. The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea.

利用小波分解与重构,实现图像去噪和压缩,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, Image Denoising and Compression, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

使用一维矩方法实现数字图像的像素级边缘检测-Moment method using the one-dimensional digital image edge detection

图像的增强 模板操作 中值滤波 梯度锐化 伪彩色编码-Template Smooth MidianFilter GradSharp ColorTable

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是高斯平滑-for image processing, have been tested, the very practical, The main source of Gaussian smoothing

实现背景图像的各种效果变换，效果非常好，可以作为游戏开发的参考。

（1）hough1.m计算所有点的直线参数 ，并将参数存入累加数组中； （2）houghpeaks.m文件进行峰值检测 （3）houghlines.m对图像中的线段检测和链接：-(1) hough1.m straight points for the calculation of all parameters, and parameters into the cumulative array (2) houghpeaks.m document peak detector (3) houghlines.m segment the image in the detection and Links: